Data Scientist x3
4 weeks ago
What will you do?
Santam Ltd has a vacancy within the Group Underwriting division for a Data Scientist .
What will make you successful in this role?
The role requires a candidate with the ability to leverage knowledge of statistical analysis, machine learning, and data modelling to drive business value by providing insights and recommendations based on data analysis.
KEY ACCOUNTABILITIES AND RESPONSIBILITIES WILL INCLUDE:
Qualifications and Experience
B. Degree in Quantitative Management (decision sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate preferable) 5-7 years practical experience in an analytical/quantitative environment
Skills
Strong programming skills ( SQL essential, Python and/or R highly desirable, Spark, Java ) Experience with common data science toolkits, such as R, Hadoop, Scala, RapidMiner, Alteryx, SAS, SPSS etc. highly desirable Experience in Data integration Machine learning / Artificial Intelligence and Statistical algorithm development essential Experience with Big Data platforms highly desirable Experience in Data management and integration such as Ralph-Kimbal dimensional modelling (Star-schema model) or Bill Inmon Snow-flaking model essential Business acumen: Enterprising & commercial thinking: Keeps aware of corporate markets and the state of competitors, identifies business opportunities, views issues in terms of costs, profits, markets and added value. Statistical analysis: Data scientists must have a strong foundation in statistical analysis to effectively identify patterns, trends, and relationships within data. Programming: Proficiency in programming languages such as Python and R is essential for data scientists to analyse data and build predictive models. Data wrangling: Data scientists must be able to gather, clean, and pre-process data to ensure its accuracy and reliability. Machine learning: Knowledge of machine learning algorithms and techniques is necessary to build predictive models and make data-driven decisions. Data visualization: Data scientists should have the ability to create clear and effective visualizations to communicate insights and findings to stakeholders. Communication Problem-solving Creativity Curiosity Financial acumen
Competencies
Client Focus Collaborates Cultivates Innovation Drives results Flexible and adaptable IT Data Analysis Data Collection Advanced analytics to address business requirements New technologies and methodologies Stakeholder management-
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